How Open Source Machine Learning Software Shapes AI

dc.contributor.author	Langenkamp, Max
dc.contributor.author	Yue, Daniel
dc.date.accessioned	2022-11-15T14:44:58Z
dc.date.available	2022-11-15T14:44:58Z
dc.date.issued	2022-07-26
dc.identifier.isbn	978-1-4503-9247-1
dc.identifier.uri	https://hdl.handle.net/1721.1/146435
dc.publisher	ACM\|Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society	en_US
dc.relation.isversionof	https://doi.org/10.1145/3514094.3534167	en_US
dc.rights	Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.	en_US
dc.source	ACM\|Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society	en_US
dc.title	How Open Source Machine Learning Software Shapes AI	en_US
dc.type	Article	en_US
dc.identifier.citation	Langenkamp, Max and Yue, Daniel. 2022. "How Open Source Machine Learning Software Shapes AI."
dc.contributor.department	Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.identifier.mitlicense	PUBLISHER_POLICY
dc.eprint.version	Final published version	en_US
dc.type.uri	http://purl.org/eprint/type/ConferencePaper	en_US
eprint.status	http://purl.org/eprint/status/NonPeerReviewed	en_US
dc.date.updated	2022-11-03T12:14:31Z
dc.language.rfc3066	en
dc.rights.holder	The author(s)
dspace.date.submission	2022-11-03T12:14:32Z
mit.license	PUBLISHER_POLICY
mit.metadata.status	Authority Work and Publication Information Needed	en_US